Triple
T36612756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hagenberg |
E903511
|
entity |
| Predicate | distanceToLinzApproxKm |
—
|
GENERATED |
| Object | about 20 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLinzApproxKm Context triple: [Hagenberg, distanceToLinzApproxKm, about 20]
-
A.
distanceToLinz_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Linz.
-
B.
approximateDistanceKm
chosen
Indicates the estimated distance between two entities measured in kilometers, typically with some degree of inaccuracy or approximation.
-
C.
distanceToSplitByRoad_km
Indicates the distance in kilometers from a given location to the nearest point where a road splits or branches.
-
D.
depthApproxKm
Indicates the approximate depth of something measured in kilometers.
-
E.
tourDistanceApproxKm
Indicates an approximate total distance, measured in kilometers, covered during a tour or journey.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:11 p.m.